Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimize, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures, and guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augment their business. We advise everyone from developers through senior executives on how best to utilize Snowflake for their data and AI tool suite to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of data and AI.
AS A SNOWFLAKE SOLUTIONS ARCHITECT YOU WILL :Customer Engagement & Advisory
Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches
Extract business requirements from customers and translate them into a well-architected recommendation
Develop and provide forward-looking guidance and future-state roadmaps
Leverage known best practices and solutions to reduce risk to customer implementations
Collaborate with Snowflake “Go to Market” teams and product teams to ensure customer alignment to Snowflake goals
Technical Leadership & Architecture
Oversee and advise on the implementation of the customer’s Snowflake platform
Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations
AI/ML Solutions & ML Ops
Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform, ensuring scalability and performance
Provide customers with standard practices and advice related to AI/ML workloads in Snowflake
Define and advise on MLOps (Machine Learning Operations) standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment
Product Adoption
Drive the adoption of Snowflake’s AI product suite (e.g., Cortex, Streamlit in Snowflake, Snowflake Intelligence) within customer solutions
Experience replatforming AI/ML workloads to Snowflake in line with business and operational requirements
Coach and guide customers on how to best leverage Snowflake’s AI product suite to unlock new business value
BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
3 years of technical consulting experience
Experience in a lead role for analytics projects for large enterprises
Experience implementing and operating Snowflake centric solutions
Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring
Familiarity with AI/ML and Transformation technologies
Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale
Proven experience with developing generative AI and LLM use cases
Familiarity with industry common BI and ETL solutions
Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
Familiarity with prompt engineering techniques
Hands-on experience or significant familiarity with building and managing AI/ML workloads
Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer
Experience in the services organization of a product company
Experience in a leadership position executing technical projects
Industry vertical expertise (Media, Financial Services, Healthcare, etc)
Application Development experience
AWS, Google or Microsoft Cloud certification(s)
Snowflake Snowpro Advanced Certification(s)
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Top Skills
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data.
We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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